Literature DB >> 24598525

Encoding frequency contrast in primate auditory cortex.

Brian J Malone1, Brian H Scott2, Malcolm N Semple3.   

Abstract

Changes in amplitude and frequency jointly determine much of the communicative significance of complex acoustic signals, including human speech. We have previously described responses of neurons in the core auditory cortex of awake rhesus macaques to sinusoidal amplitude modulation (SAM) signals. Here we report a complementary study of sinusoidal frequency modulation (SFM) in the same neurons. Responses to SFM were analogous to SAM responses in that changes in multiple parameters defining SFM stimuli (e.g., modulation frequency, modulation depth, carrier frequency) were robustly encoded in the temporal dynamics of the spike trains. For example, changes in the carrier frequency produced highly reproducible changes in shapes of the modulation period histogram, consistent with the notion that the instantaneous probability of discharge mirrors the moment-by-moment spectrum at low modulation rates. The upper limit for phase locking was similar across SAM and SFM within neurons, suggesting shared biophysical constraints on temporal processing. Using spike train classification methods, we found that neural thresholds for modulation depth discrimination are typically far lower than would be predicted from frequency tuning to static tones. This "dynamic hyperacuity" suggests a substantial central enhancement of the neural representation of frequency changes relative to the auditory periphery. Spike timing information was superior to average rate information when discriminating among SFM signals, and even when discriminating among static tones varying in frequency. This finding held even when differences in total spike count across stimuli were normalized, indicating both the primacy and generality of temporal response dynamics in cortical auditory processing.
Copyright © 2014 the American Physiological Society.

Entities:  

Keywords:  auditory; cortex; modulation; neurophysiology; primate

Mesh:

Year:  2014        PMID: 24598525      PMCID: PMC4097870          DOI: 10.1152/jn.00878.2013

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  70 in total

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Journal:  J Neurophysiol       Date:  2006-11-29       Impact factor: 2.714

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Journal:  J Neurophysiol       Date:  2006-03-22       Impact factor: 2.714

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Authors:  Brian J Malone; Brian H Scott; Malcolm N Semple
Journal:  J Neurophysiol       Date:  2007-07-05       Impact factor: 2.714

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Journal:  J Neurosci       Date:  2007-06-13       Impact factor: 6.167

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Journal:  J Acoust Soc Am       Date:  1978-01       Impact factor: 1.840

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  8 in total

1.  Modulation-frequency-specific adaptation in awake auditory cortex.

Authors:  Brian J Malone; Ralph E Beitel; Maike Vollmer; Marc A Heiser; Christoph E Schreiner
Journal:  J Neurosci       Date:  2015-04-15       Impact factor: 6.167

2.  Diverse cortical codes for scene segmentation in primate auditory cortex.

Authors:  Brian J Malone; Brian H Scott; Malcolm N Semple
Journal:  J Neurophysiol       Date:  2015-02-18       Impact factor: 2.714

3.  Background noise exerts diverse effects on the cortical encoding of foreground sounds.

Authors:  B J Malone; Marc A Heiser; Ralph E Beitel; Christoph E Schreiner
Journal:  J Neurophysiol       Date:  2017-05-10       Impact factor: 2.714

4.  Amplitude modulation coding in awake mice and squirrel monkeys.

Authors:  Nerissa E G Hoglen; Phillip Larimer; Elizabeth A K Phillips; Brian J Malone; Andrea R Hasenstaub
Journal:  J Neurophysiol       Date:  2018-01-24       Impact factor: 2.714

5.  Temporally precise population coding of dynamic sounds by auditory cortex.

Authors:  Joshua D Downer; James Bigelow; Melissa J Runfeldt; Brian J Malone
Journal:  J Neurophysiol       Date:  2021-06-02       Impact factor: 2.974

6.  Cluster-based analysis improves predictive validity of spike-triggered receptive field estimates.

Authors:  James Bigelow; Brian J Malone
Journal:  PLoS One       Date:  2017-09-06       Impact factor: 3.240

7.  Experience-Dependent Coding of Time-Dependent Frequency Trajectories by Off Responses in Secondary Auditory Cortex.

Authors:  Kelly K Chong; Dakshitha B Anandakumar; Alex G Dunlap; Dorottya B Kacsoh; Robert C Liu
Journal:  J Neurosci       Date:  2020-04-23       Impact factor: 6.167

8.  Effects of Signal-to-Noise Ratio on Auditory Cortical Frequency Processing.

Authors:  Magnus J Teschner; Bryan A Seybold; Brian J Malone; Jana Hüning; Christoph E Schreiner
Journal:  J Neurosci       Date:  2016-03-02       Impact factor: 6.167

  8 in total

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